11 citations · 23 across the 10 of their papers we have counts for
10 papers
Pathology Context Recalibration Network for Ocular Disease Recognition
Zunjie Xiao, Xiaoqing Zhang, Risa Higashita +1
Pathology context and expert experience play significant roles in clinical ocular disease diagnosis. Although deep neural networks (DNNs) have good ocular disease recognition resul…
VOIC: Visible-Occluded Integrated Guidance for 3D Semantic Scene Completion
Zaidao Han, Risa Higashita, Jiang Liu
Camera-based 3D Semantic Scene Completion (SSC) is a critical task for autonomous driving and robotic scene understanding. It aims to infer a complete 3D volumetric representation…
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
Zunjie Xiao, Xiao Wu, Tianhang Liu +5
Precise lens structure segmentation is essential for the design of intraocular lenses (IOLs) in cataract surgery. Existing deep segmentation networks typically weight all pixels eq…
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
Xiao Wu, Xiaoqing Zhang, Zunjie Xiao +3
Efficient convolutional neural network (CNN) architecture design has attracted growing research interests. However, they typically apply single receptive field (RF), small asymmetr…
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation
Zunjie Xiao, Xiaoqing Zhang, Risa Higashita +1
Ophthalmic image segmentation serves as a critical foundation for ocular disease diagnosis. Although fully convolutional neural networks (CNNs) are commonly employed for segmentati…
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
Li Sanqian, Higashita Risa, Fu Huazhu +3
Anterior segment optical coherence tomography (AS-OCT) is a non-invasive imaging technique that is highly valuable for ophthalmic diagnosis. However, speckles in AS-OCT images can…
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
Yinglin Zhang, Ruiling Xi, Huazhu Fu +4
Robust and accurate segmentation for elongated physiological structures is challenging, especially in the ambiguous region, such as the corneal endothelium microscope image with un…
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
Xiaoqing Zhang, Zunjie Xiao, Xiao Wu +4
Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency…
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation
Yinglin Zhang, Risa Higashita, Huazhu Fu +5
Corneal endothelial cell segmentation plays a vital role inquantifying clinical indicators such as cell density, coefficient of variation,and hexagonality. However, the corneal end…
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqing Zhang, Yan Hu, Zunjie Xiao +3
Cataracts are the leading cause of visual impairment and blindness globally. Over the years, researchers have achieved significant progress in developing state-of-the-art machine l…